IEEE

Low-Power Multiplier-Less VLSI Design and Implementation of Linear Convolution Using Vedic ...

Abstract: We present in this paper on how we can replace the multipliers with basic operations like shifting and addition in the linear convolution method considering ease of implementation, making it ...
IEEE

Graph Linear Convolution Pooling for Learning in Incomplete High-Dimensional Data

Abstract: High-dimensional and incomplete (HDI) data are frequently encountered in diverse real-world applications involving complex interactions among numerous nodes. Approaches based on latent ...
GitHub

DeepMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution

This repository contains the implementation of DeepMRI for parallel MR imaging using Tensorflow-gpu. Test code for Matlab and test data are also included. For a quick test, the trained weights can be ...
来自MSN

Building multivariate linear regression in C++ — no libraries, just code

Want to understand how multivariate linear regression really works under the hood? In this video, we build it from scratch in C++—no machine learning libraries, just raw code and linear algebra. Ideal ...
GitHub

[CVPR2025]Breaking the Low-Rank Dilemma of Linear Attention

Implementation of "Breaking the Low-Rank Dilemma of Linear Attention" The Softmax attention mechanism in Transformer models is notoriously computationally expensive, particularly due to its quadratic ...